隨著網際網路的發展，網路使用者在虛擬世界中進行各種活動，使得人與人之間具有許多虛實之間的關係，形成虛擬與實體交錯的複雜社會網路。人們可能出自於工作、學習或是好奇，想得知其他人的相關訊息。企業亦希望能夠分析顧客偏好並給予推薦，以期能夠提升顧客忠誠度。然而顧客提供之資訊多為基本資訊，若能透過網路蒐集更多該顧客之資訊，如個人首頁、社交圈等，將有利於分析顧客偏好。但由於網路上訊息的零碎性，以及姓名具有的模糊性，使用者在搜尋人物過程中，易遭遇同名人物問題混淆，且難以萃取人物相關資訊。本研究提出一虛擬世界實體人物搜尋方法，藉由網友於網路公開之資訊，以自動化方法獲取實體人物資訊並區分同名人物，迅速整合及消歧網際網路中相同姓名之人物資訊，令使用者快速地於網際網路中進行人物搜尋及判斷。本研究主要研究項目為：(1)人物輪廓模型設計；(2)虛擬世界實體人物搜尋方法設計；(3)虛擬世界實體人物搜尋模式技術開發。

With the development of Internet, user can engage in a variety of activities in Virtual World, producing many relationship between people in virtual and physical world, forming a far-reaching, intertwined by virtual, physical, complex social network, and people may want to know about information of other people because of their work, study or curiosity. Enterprise also hope to analyze customer preferences and give recommendations, with a view to enhance customer loyalty. However, the information provided by the customer more for basic information, if the Enterprise via the Internet to gather more information, such as personal home page, circle, etc., will help analyze customer preferences. However, because of the fragmentary information on Internet, and the people who have same name could lead to confusion, caused it’s hard to confirm user and extract the information of user. Therefore, this study aims to develop a Physical People Searching Method in Virtual World. Extracting the information of people on Internet and disambiguating the same name of different people. It can be used to construct the social network as a main step. This research topic including: (1) A Personal Profile Model was proposed; (2) A Physical People Searching Model in Virtual World was proposed; (3) A Physical People Searching Method in Virtual World was developed.

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